Facephi Launches AI Platform to Detect Fraudsters

Facephi has launched an artificial intelligence platform designed to detect digital fraud by monitoring user sessions after identity verification, as generative AI and remote-access software make it easier for attackers to impersonate legitimate customers.

The platform, Facephi Intelligence Platform, creates a profile for each verified identity and monitors device integrity, network conditions and interaction patterns in real time. It assigns each session a risk score from zero to 100, allowing financial institutions to block access, request additional verification or terminate remote access according to their own security rules.

The launch comes as financial institutions face increasingly sophisticated attacks that can bypass conventional identity checks. AI-generated faces can be produced in seconds, while virtual cameras can inject synthetic images directly into identity-verification systems without using a device’s physical camera.

Goode Intelligence forecasts that identity-verification injection attacks will increase from 122 million in 2026 to more than 301 million in 2028.

The growing threat is challenging security systems built around a binary decision: whether a person passes or fails an identity check. Facephi argues that verification must instead serve as an ongoing source of intelligence, with each subsequent interaction assessed against the verified user’s established behaviour.

Financial institutions often deploy identity verification, fraud detection and compliance tools separately, using different data models and risk thresholds. This can leave security teams assessing individual events without retaining the context needed to identify suspicious activity across a customer’s digital relationship.

Facephi, a technology company specialising in digital identity and fraud prevention for regulated industries, said its new platform is designed to connect these signals through a continuous record of verified identities and their subsequent interactions.

The company said the approach could help distinguish legitimate customers from attackers who have obtained valid credentials or compromised a customer’s device after the initial identity check.

In one example outlined by Facephi, a customer opens a banking application after unknowingly installing malicious software that allows an attacker to control the device remotely.

When the attacker attempts to initiate a transfer, the platform detects indicators of remote access and interaction patterns inconsistent with the account holder’s history. It raises the session’s risk score, prompting the bank’s configured rules to interrupt the remote-control activity and alert its fraud team before the transaction is completed.

The legitimate customer retains access to the banking application, while the attacker loses remote control, Facephi said.

The platform’s currently available capabilities include document verification, near-field communication (NFC) reading, facial biometrics, passive liveness detection and the identification of presentation attacks, injection attempts and synthetically generated content.

Its session-intelligence functions assess device integrity, network characteristics and interaction patterns to identify remote access, automated activity and potential account takeovers, recalculating risk scores as users interact with digital services.

Account-level risk monitoring and transaction monitoring, including anti-money laundering (AML) capabilities, are planned for future development, the company said.

“The response to fraud generated with artificial intelligence is not to add another control at the entry point, because that control can also be attacked. It is to stop treating each check as an isolated episode,” Javier Mira, Facephi’s chief executive, said.

“We verify at the source, retain what we learn from each identity and interpret every session with that context. When the context is not lost, the attacker has to sustain an impersonation throughout the relationship and not just for thirty seconds,” he said.

The launch comes as banks and fintech companies seek to consolidate technology providers and integrate previously separate identity, fraud and compliance systems.

The global identity verification market will grow from $14.34 billion in 2025 to $29.32 billion in 2030, according to MarketsandMarkets.

Facephi said it has more than 400 clients across regulated industries, including more than 150 financial institutions, in over 35 countries. The company said its technology has verified more than 500 million identities and serves 300 million users in production.

The company did not provide financial details of the platform’s launch or disclose its expected contribution to revenue.

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